Kernel jobs

Senior Applied Machine Learning Engineer - VLSI Design US, CA, Santa Clara posted: Posted 9 Days Ago

On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning Cupertino, United States of America Imagine being at the forefront of an evolution where powerful AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple a top destination for on-device machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding innovative architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models on resource-constrained devices and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents an incredible opportunity to work on the next generation of intelligent experiences on Apple platforms. We are seeking an ML Infrastructure Engineer with a specific focus on graph compilers and runtimes. If you are a highly motivated software engineer who is creative, versatile, and passionate about machine learning operator primitives, common compiler optimizations, runtimes, and system software engineering in the fast-paced and dynamic

Machine Learning, Platform Engineer San Francisco About the Role Our team focuses on enabling custom models and dedicated inference on Together. We are responsible for building a container platform, optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer experience with great tooling. We often focus on video or audio generation across the stack: CUDA kernels, pytorch optimization, inference engines, container orchestration, queueing theory, etc. An ideal candidate will be great at profiling/optimization but know the word kubernetes, or be intimately familiar with multi-cluster scheduling and have some sense of ML bottlenecks. Responsibilities - New hires may work on multi-cluster orchestration, portfolio optimization, predictive autoscaling, control panes, model bring-up, model optimization, APIs for managing deployments, inference worker SDKs, and CLI tools. - Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure - Partner with product teams to understand functional requirements and deliver solutions that meet business needs - Write clear, well-tested, and maintainable software and IaC for both new and existing systems - Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Requirements - 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems. - Experience running serverless inference platforms, doing model bring-up on short notice, being on call, or running a cloud provider is a very big plus - Good taste and ability to thoughtfully discuss how what you've built has failed over time - Experience

Senior Systems Engineer, OS Automation Livingston, NJ / New York City, NY/ Sunnyvale, CA/ Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . About the Role: SysEng HAVOCK ( H ardware - A cceleration - V irtualization - O perating Systems - C ontainerization - K ernel) CoreWeave is looking for a Senior Systems Engineer who is ready to evolve beyond traditional DevOps. You will start by stabilizing and scaling our Linux OS and Kernel build pipelines. Once the foundation is set, you will lead the transition to AI-native infrastructure , building "smart" workflows that don't just report errors, but understand and fix them. You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale. Our Team's Stack: - Languages: Python, Go, bash/sh - Observability: Prometheus, Victoria Metrics, Grafana - OS & Kernel: Linux Kernel (custom build), Ubuntu - Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs - Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet Responsibilities: - Pipeline Architecture: Design, maintain, and automate reproducible OS image

Machine Learning Compute Efficiency Lead, Infrastructure & Planning Cupertino, United States of America Apple's Platform Acceleration & Compute Efficiency (PACE) is a high-leverage team operating at the critical intersection of our ML organizations, underlying compute infrastructure, and core platform tooling. Our mission is to empower Apple's software engineering teams with efficient, scalable compute. By driving out operational friction and optimizing the broader machine learning ecosystem, we directly accelerate the pace of development across the company. As foundation models become increasingly central to Apple's user experiences, maximizing the efficiency of our ML compute is paramount. In this role, you will focus relentlessly on compute efficiency, ensuring that Apple's models run as fast, reliably, and cost-effectively as possible. You will tackle massive optimization challenges, from maximizing hardware utilization across GPUs, TPUs, and custom Apple Silicon, to shaping workload scheduling and capacity allocation for large model serving. We are seeking a Senior Architect with deep expertise in ML infrastructure to act as a linchpin for Apple's foundational inference strategy. You will be instrumental in defining, establishing, and monitoring compute efficiency metrics across the software engineering organization. By partnering closely with model developers and infrastructure providers, your work will directly reduce serving costs, shape core engineering decisions, and enable the highly efficient, scalable inference required to power Apple Intelligence for hundreds of millions of users. - Own and support ML compute management for Apple's inference workloads (GPU, TPU, and custom silicon) to enable large-scale model serving. - Collaborate closely with Apple Intelligence and ML

Member of Technical Staff, Exceptional Generalist (Remote) Remote, US Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware-a position that took years to build. About the Role This is a globally remote opportunity. We're seeking exceptional generalist engineers who can work across the entire vLLM stack: from low-level GPU kernels to high-level distributed systems. This role is designed for self-directed, autonomous individuals who can identify the highest-leverage problems and solve them end-to-end without constant guidance. You'll work asynchronously with our San Francisco headquarters while maintaining full ownership of critical infrastructure. You might be optimizing CUDA kernels one week, designing distributed orchestration systems the next, and implementing new model architectures the week after. The work you do will directly impact how the world runs AI inference. Potential focus areas include: - Inference Runtime: Push the boundaries of LLM and diffusion model serving. Work at the core of vLLM to optimize how models execute across diverse hardware and architectures. - Kernel Engineering: Write the low-level kernels and optimizations that make vLLM the fastest inference engine in the world, running on hundreds of accelerator types. - Performance & Scale: Build the distributed systems that power inference at global scale-design foundational layers enabling vLLM to serve models across thousands of accelerators with minimal latency. - Cloud Orchestration: Build the operational backbone for cluster

Senior Engineer - Linux BSP 2 Locations Position: Senior Engineer - Linux BSP Job Description: Key Responsibilities • Responsible for design and development of real time embedded software/firmware and PC/mobile based software application. • To Analyse domain specific technical or low level requirement and modification as per end customer or system requirement. • Participate in High level and low level software design • Perform software testing including unit, functional and system level requirement including manual and automated • Performs software requirement to design to coding to testing traceability • Performs code review following coding guidelines and static code analysis • Troubleshoots software problems of limited difficulty. • Documenting technical deliverable like software specifications, design document, code commenting, test cases and test report, Release note etc. throughout the project life cycle. • Follow defined process for software Development life cycle • Develops software solutions from established programming languages or by learning new language required for specific project. Experience / Skills Required • Strong knowledge for Linux device drivers, Linux Kernel Programming, Linux Kernel Internals, Yocto / Buildroot or any other build systems • Experience working with development tools like oscilloscope, protocol analyser, emulator, signal generator, JTAG programmer, GIT, SVN, JIRA. • Experience working with different embedded microprocessor based on Qualcomm, TI, NXP, NVIDIA, Intel or similar • Experience of Board support package, Device driver and boot loader development/porting. • Understanding of hardware schematic, datasheet of hardware component to derive firmware/software specific solution • Strong sense of ownership, passionate, fast learner, analytical

Senior/Principal Linux Security Analytics Researcher (Cortex) Office - Israel - Tel Aviv posted: Posted Yesterday

Embedded Engineer (BSP), Staff Austin | OnSite Location: Onsite - Austin, TX Employment Type: Direct Hire, Full‑Time Job Title: Staff Embedded Engineer (BSP) Company Overview 9 Mothers Defense develops AI-enabled systems to counter unmanned aerial threats. Our first product, EDDA, is an autonomous counter-sUAS point-defense platform designed to detect, track, and neutralize Group 1 drone threats. The company is headquartered in Austin, Texas. Position Summary 9 Mothers is seeking a Lead Embedded Engineer (BSP) to own the Board Support Package and embedded platform underlying our counter-sUAS systems. The Lead Embedded Engineer is responsible for board bring-up, Linux platform development, device driver engineering, and the operating system framework upon which our perception, controls, and autonomy software operate. This is a senior individual contributor position. Essential Duties - Lead end-to-end bring-up of new board revisions, including bootloader, kernel, device tree, and peripheral driver development. - Own the Linux platform image that ships on production systems, including kernel configuration, patching, and long-term maintenance. - Design and maintain the operating system framework supporting application software, including process supervision, inter-process communication, logging, configuration management, and update and rollback infrastructure. - Develop and maintain device drivers for cameras, inertial measurement units, motor controllers, and custom hardware peripherals. - Establish and operate the build, signing, and provisioning pipeline for production deployment. - Diagnose and resolve complex issues spanning the hardware, kernel, and userspace boundary. - Define standards and best practices for embedded software development, testing, and deployment. Requirements - 6+ years of professional experienc

SysDE I - Multimedia, Hardware Compute Group Bengaluru, Karnataka, IND Are you passionate about graphics systems and display technologies that power millions of devices? Join our team to work at the intersection of GPU drivers, display compositors, and system-level integration, delivering seamless visual experiences on cutting-edge consumer devices. As a SysDe I, you will be responsible for: - Integrating and enabling GPU graphics drivers at both kernel (driver) and userspace (Mesa) levels, ensuring optimal rendering performance and stability - Working with ARM Mali DDK for GPU driver bring-up, configuration, and performance tuning across product platforms - Enabling and maintaining Weston/Wayland compositor stack, including shell customization, display output configuration, and client-compositor interactions - Driving systemic integration across the graphics pipeline, from kernel DRM/KMS drivers through userspace graphics libraries to compositor and application layers - Debugging and resolving complex cross-layer graphics issues spanning kernel drivers, EGL/GLES, Vulkan, and display frameworks - Collaborating with silicon vendors, internal platform teams, and application teams to deliver production-quality graphics solutions - Developing automated test frameworks and validation tools for graphics subsystem verification Key job responsibilities - Own the integration, bring-up, and validation of GPU graphics drivers (ARM Mali DDK) at the kernel level across multiple product platforms, ensuring driver stability and performance targets are met - Enable and maintain the userspace graphics stack (Mesa, EGL, GLES, Vulkan) to deliver optimized rendering pipelines for consumer device use cases - Drive Weston/Wayland compositor integration, including shell configuration, display output management, multi-client compositing, and input handling - Perform end-to-end

Senior Engineer / Technical Lead (Linux BSP) 7 Locations Position: Senior Engineer / Technical Lead (Linux BSP) Job Description: What You'll Be Doing Responsible for design and development of real time embedded software/firmware and PC/mobile based software application. To Analyse domain specific technical or low level requirement and modification as per end customer or system requirement. Participate in High level and low level software design Perform software testing including unit, functional and system level requirement including manual and automated Performs software requirement to design to coding to testing traceability Performs code review following coding guidelines and static code analysis Troubleshoots software problems of limited difficulty. Documenting technical deliverable like software specifications, design document, code commenting, test cases and test report, Release note etc. throughout the project life cycle. Follow defined process for software Development life cycle Develops software solutions from established programming languages or by learning new language required for specific project What Are We Looking For Strong knowledge for Linux device drivers, Linux Kernel Programming, Linux Kernel Internals, Yocto / Buildroot or any other build systems. Experience working with development tools like oscilloscope, protocol analyser, emulator, signal generator, JTAG programmer, GIT, SVN, JIRA. Experience working with different embedded microprocessor based on Qualcomm, TI, NXP, NVIDIA, Intel or similar Experience of Board support package, Device driver and boot loader development/porting. Understanding of hardware schematic, datasheet of hardware component to derive firmware/software specific solution Strong sense of ownership, passionate, fast learner, analytical mind set, perfection seeker. Location - Hyderabad, Ahmedabad, Chennai,

Working Student: Embedded Systems Security Engineer (f/m/div) Lviv (Ukraine)

Embedded Software Engineer - Networking drivers, ENA team Haifa, Haifa, ISR Join AWS's ENA (Elastic Network Adapter) drivers team and build the networking software that powers millions of cloud instances worldwide. We develop high-performance kernel and user-space drivers for multiple operating systems running on the virtual machines that deliver exceptional bandwidth, low latency, and optimal performance across AWS's global infrastructure. As an embedded Software Engineer, you'll work on drivers running across Linux, Windows, DPDK, FreeBSD and other operating systems. Your code will impact AWS customers globally through both proprietary AWS technologies and open-source contributions. You'll collaborate with multiple teams, contribute to upstream projects, and solve challenging performance problems at a massive scale. Key job responsibilities - Design and implement networking drivers for AWS Nitro controllers powering millions of servers - Optimize network performance: improve bandwidth utilization, packets-per-second (PPS), cycles-per-packet and reduce latency - Develop and maintain kernel and user-space drivers across multiple operating systems (Linux, Windows, DPDK, FreeBSD, MacOS and other operating systems) - Contribute to open-source repositories including the Linux kernel and upstream projects - Debug complex networking issues in production environments with customer-facing impact - Collaborate with multiple teams, kernel maintainers, AWS service teams and AWS customers - Monitor driver performance metrics and maintain code quality standards - Build monitoring and automation tools to enhance driver testing for functionality, reliability, and performance Basic Qualifications: - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience - 3+ years of professional software development experience with strong

Machine Learning Engineer San Jose posted: Posted 8 Days Ago

FPGA Engineer Staff Penang, Malaysia

Embedded/Firmware Software Engineer City Taipei | State/Province Taiwan | Country Taiwan Req ID: 135290 Remote Position: Region: Country Taiwan State/Province: State/Province Taiwan City Taipei Summary Celestica is looking for talented and passionate software engineers for the Hardware Platform Services team. This team is responsible for designing and developing Cloud Hardware infrastructure that includes Compute, Storage, AI servers and Networking Switches. As a Software Engineer, you will play a key role in defining and delivering state of the art Cloud Infrastructure products. Detailed Description ● Gather Requirements and provide technical solutions that span across the system ● Design and implement drivers, application software that drive next generation CPU and GPU systems for Data Centers ● Develop, augment and maintain software libraries to support computing on CPU / GPUs ● Mentor and coach team members on the technical skills and approaches to solve problems. ● Review and maintain the quality of code going into production. Knowledge/Skills/Competencies Required Qualifications: ● 5+ years of experience in C / C++ and other low-level programming languages and embedded systems ● 5+ years of experience in Device Drivers such as PCIE, I2C, etc., knowledge of BIOS, BMC, Secure Boot, Linux Kernel, etc. ● 5+ years of experience in Hardware bring-up, validation of all low-level interactions, troubleshooting and resolution of hardware / software interfaces ● Platform bring-up / board bring-up ● Linux kernel bring-up / kernel enablement / upstreaming ● Strong analy

Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago

Manager Machine Learning Engineering (f/m/div) Porto (Maia) (Portugal)

Embedded/Firmware Software Engineer City Taipei | State/Province Taiwan | Country Taiwan Req ID: 135291 Remote Position: Region: Country Taiwan State/Province: State/Province Taiwan City Taipei Summary Celestica is looking for talented and passionate software engineers for the Hardware Platform Services team. This team is responsible for designing and developing Cloud Hardware infrastructure that includes Compute, Storage, AI servers and Networking Switches. As a Software Engineer, you will play a key role in defining and delivering state of the art Cloud Infrastructure products. (#LI-NW2) Detailed Description ● Gather Requirements and provide technical solutions that span across the system ● Design and implement drivers, application software that drive next generation CPU and GPU systems for Data Centers ● Develop, augment and maintain software libraries to support computing on CPU / GPUs ● Mentor and coach team members on the technical skills and approaches to solve problems. ● Review and maintain the quality of code going into production. Knowledge/Skills/Competencies Required Qualifications: ● 5+ years of experience in C / C++ and other low-level programming languages and embedded systems ● 5+ years of experience in Device Drivers such as PCIE, I2C, etc., knowledge of BIOS, BMC, Secure Boot, Linux Kernel, etc. ● 5+ years of experience in Hardware bring-up, validation of all low-level interactions, troubleshooting and resolution of hardware / software interfaces ● Platform bring-up / board bring-up ● Linux kernel bring-up / kernel enablement / upstreaming ● St

Staff Engineer - Linux SDK 2 Locations posted: Posted 24 Days Ago

Embedded Software Engineer, AWS Annapurna Labs Tel Aviv-Yafo, Tel Aviv, ISR Annapurna Labs, an Amazon company, is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture. Key job responsibilities The Linux Kernel development team is looking for a talented Linux kernel expert with experience in embedded systems, to join us in building the high-end AWS NITRO system. You'll have the opportunity to work on the top technologies powering the world's largest cloud provider, in a dynamic, open, fast-paced environment. As part of your role you will develop kernel drivers and share your code with the Linux community. This is a rare opportunity to develop code that runs at such a high scale, with strict reliability and security demands. About the team *Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. *Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. *Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is

Embedded/Firmware Software Engineer City Taipei | State/Province Taiwan | Country Taiwan Req ID: 127259 Remote Position: Region: Country Taiwan State/Province: State/Province Taiwan City Taipei Summary Celestica is looking for talented and passionate software engineers for the Hardware Platform Services team. This team is responsible for designing and developing Cloud Hardware infrastructure that includes Compute, Storage, AI servers and Networking Switches. As a Software Engineer, you will play a key role in defining and delivering state of the art Cloud Infrastructure products. Detailed Description ● Gather Requirements and provide technical solutions that span across the system ● Design and implement drivers, application software that drive next generation CPU and GPU systems for Data Centers ● Develop, augment and maintain software libraries to support computing on CPU / GPUs ● Mentor and coach team members on the technical skills and approaches to solve problems. ● Review and maintain the quality of code going into production. Knowledge/Skills/Competencies Required Qualifications: ● 5+ years of experience in C / C++ and other low-level programming languages and embedded systems ● 5+ years of experience in Device Drivers such as PCIE, I2C, etc., knowledge of BIOS, BMC, Secure Boot, Linux Kernel, etc. ● 5+ years of experience in Hardware bring-up, validation of all low-level interactions, troubleshooting and resolution of hardware / software interfaces ● Platform bring-up / board bring-up ● Linux kernel bring-up / kernel enablement / upstreaming ● Strong analy

Senior Linux Detection Researcher (Cortex) Office - Israel - Tel Aviv posted: Posted 30+ Days Ago

Principal Engineer Software (Machine Learning) Santa Clara, United States of America posted: Posted 4 Days Ago